KAIST Develops AI That Reconstructs Cloud-Covered Ground in Satellite Images with Photo-Like Clarity (IMAGE)
Caption
From pretraining to task-specific applications. The left panel shows pretraining with satellite images, descriptive sentences, and location and GSD information. The center panel shows the resulting core image-generating model with 9 billion parameters. The right panel shows the model being fine-tuned separately for cloud removal and SAR-to-optical image translation. During pretraining, an AI specialized in satellite imagery provides a reference that helps the model learn image structure and meaning.
Credit
KAIST
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